In view of the problem that it is difficult to quantitatively assess interactivity between attributes in identification process 2-order additive fuzzy measure, this work uses intuitionistic sets (IFSs) describe and deal with attributes. Firstly, defined by supermodular game theory. On basis, experts employ number (IFN) attributes, Secondly, opinions all are aggregated using weighted average ope...

Fuzzy measures can flexibly describe the relative importance of decision criterion as well as their interactions in multicriteria decision making. Based on the diamond pairwise comparison, a new identification method of 2-order additive fuzzy measure is proposed. The relative weight and the interaction degree can be obtained simultaneously for every pair of criteria in the diamond pairwise comp...

to study inheritance of resistance to septoria tritici blotch in wheat, the generation mean analysis method was used. so six generations (p1, p2, f1, f2, bc1 and bc2) were planted under completely randomized design with three replications in greenhouse. seedlings were inoculated at the second-leaf stage with an isolate of septoria tritici and necrosis and picnidia density and area under disease...

Fuzzy measures and integrals have been used in multiple applications in the area of information fusion. They can be used to aggregate information when information sources are not independent. Fuzzy measures are used to represent our background knowledge on the information sources. In particular, they can be used to model the dependencies between the variables. One of the applications of Choquet...

Rock physics models are widely used in hydrocarbon reservoir studies. These models make it possible to simulate a reservoir more accurately and reduce the economic risk of oil and gas exploration. In the current study, two models of Self-Consistent Approximation followed by Gassmann (SCA-G) and Xu-Payne (X-P) were implemented on three wells of a carbonate reservoir in the southwest of Ira...

Ensemble classification has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. And Support vector machines (SVMs) ensemble has been proposed to improve classification accuracy recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM ...

Varadhan’s integration theorem, one of the corner stones of large-deviation theory, is generalized to the context of capacities. The theorem appears valid for any integral that obeys four linearity properties. We introduce a collection of integrals that have these properties. Of one of them, known as the Choquet integral, some continuity properties are established as well.

The aim of this paper is to present under uncertainty, and in an ordinal framework, an axiomatic treatment of the Sugeno integral in terms of preferences which parallels some earlier derivations devoted to the Choquet integral. Some emphasis is given to the characterization of uncertainty aversion.